Working with AI: Co-Analyst

• Partner closely with the AI team to ensure AI features are genuinely useful, understandable, and aligned with what our users need.
• Help track and document the specific behaviours and styles built into Co-Analyst responses.
• Support the work to adapt Co-Analyst to the needs of specific external organisations.

Building and leading the product function

• Build and formalise the product function: its agile processes, roadmapping systems, and prioritisation frameworks.
• Bring order to the product operations layer: the tooling (issue tracking, documentation), delivery workflows, and the interface between product management and delivery management. Expect to roll up your sleeves here personally before you scale it.
• Establish metrics to track product success, adoption, and customer satisfaction.
• Grow and mentor a high-performing product team as ExTrac scales, fostering a culture of innovation and collaboration.

Cross-functional collaboration

• Act as the primary link between product, engineering, machine learning, design, customer success, and research, ensuring cohesive development cycles and smooth delivery.
• Partner closely with the design team on design and UX, engineering on build and AI/ML, and the research and analysis team on domain expertise, synthesising their input into a coherent product direction.
• Facilitate cross-team workshops to bring evidence and expertise together, and strengthen pre-sprint and in-sprint communication.

You should apply if

• You have shipped complex products in technical domains, ideally AI/ML, data, or intelligence, and product leadership is now where you do your best work: setting direction, building process, and multiplying the output of others.
• You are as comfortable in the detail as in the strategy. Writing a PRD, interrogating usage data, or pressure-testing a model integration with engineers is still work you enjoy, not work you have outgrown.
• You hold evidence and conviction in balance. You know when user research should lead and when expertise-led judgement should, and you can make and defend either call.
• You want proximity to the mission and the founders. Reporting directly to the CEO in a growth-stage company, with the pace and ambiguity that brings, is what you are looking for rather than what you are tolerating.
• You get energy from building functions, not just products. Processes, metrics, hiring, and mentoring are things you want to own, because you have seen what happens when nobody does.
• You are honest with yourself about what this role is not. It is not a blank-canvas builder role with full autonomy over vision and iteration cycles; it is a role for someone who does their best work translating a strong founder vision into an excellent product and a well-run function, and who finds the constructive push and pull of that genuinely energising.

Where this role can take you

• Grow the product function you build. What starts as a hands-on leadership role becomes building, hiring, and leading a product team as ExTrac scales.
• Shape company strategy, not just product strategy, influencing how ExTrac positions itself at a defining moment for AI in the intelligence sector.
• Define how AI-native intelligence products get built. Co-Analyst is a category-shaping product, and the frameworks you establish for it will influence how the industry approaches human-AI analytical workflows.

Requirements

• ExTrac provides services to a number of government clients, some of which specify nationality criteria for individuals seeking security clearance. For this reason, we can only consider applications from individuals who are nationals of the UK, another NATO member state, Australia or New Zealand.
• 6+ years in product management, ideally in AI/ML, data science, or intelligence-related fields, with a proven track record of shipping complex products from concept through to delivery.
• Demonstrated experience leading product development in a startup or growth-stage company, with a proven ability to build and scale products and processes effectively.
• Able to translate complex technical solutions into strategic product decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer.
• Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ML models are integrated into user-facing products, alongside data processing and analytics.
• Skilled at working with engineering, ML, design, and customer success, and at synthesising input from multiple disciplines into a coherent product direction in a collaborative, agile environment.
• Excellent written and verbal communication, with the ability to present complex information clearly to executives, clients, and internal teams.

Desirable

• Experience in threat intelligence, risk analysis, or geopolitical intelligence, or in other highly regulated or security-sensitive environments (e.g. government, defence).
• A foundation in machine learning, data analytics, or AI product management, particularly integrating complex ML models into user-facing products.
• Familiarity with agile methodologies and experience establishing agile processes in a startup or high-growth environment.

Interview Process

We aim to ensure that each person who interviews with our team has the opportunity to showcase their experience and strengths, and to have honest conversations about whether ExTrac and the role align with their career aspirations. The process for this role is as follows:

• Initial Intro Interview - 30 Minutes
• Technical Craft & Competency-based Interviews - 45 Minutes x 2
• Senior Executive Interview - 45 Minutes

Benefits

• Competitive salary based on skills and experience.
• A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.
• Enhanced parental leave and a workplace nursery scheme.
• A sabbatical leave offer.
• £500/year education budget with more expensive items (like conferences) covered with manager approval.
• 33 days of leave across the year